商业智能的未来：从仪表盘到AI驱动的深度分析
Intelligence About Business
Omni公司CEO指出，商业智能正从静态仪表盘重新扩展为AI驱动的深度分析。AI能融合结构化和非结构化数据，例如分析75页支持对话以识别代表错误并提供具体改进建议。其平台具备自动处理问题报告的能力，客户案例显示BambooHR在四个月内向三万人推出分析服务，Cribl则在三个月内整合遗留系统并快速迁移上百个仪表盘。底层统一的语义模型存储定义、逻辑与权限，支持多种分析界面。Omni近期以150亿美元估值完成1.2亿美元融资，由ICONIQ领投。
A bug intake skill at Omni takes a Slack link and description. Searches GitHub and support tickets. If the issue exists, the skill points to the thread. If the behavior is novel, it drafts a GitHub issue and outputs a prefilled link. The user clicks and submits.
BambooHR launched Elite Analytics to 30,000 people in four months. Cribl consolidated legacy BI into Omni in three months, migrating 100 dashboards in five weeks.
Underneath, a semantic model stores definitions, logic, & permissions. These models know about data in many different places, both structured & unstructured. It powers dashboards, workbooks, spreadsheets, & AI queries.
“Omni makes all of our knowledge structured & durable for smarter AI.”
— Sarah Fischbach, Staff Analytics Engineer, Checkr
Congratulations to Omni on raising $120 million at a $1.5 billion valuation, led by our friends at ICONIQ. We are thrilled to continue supporting the team in their efforts to transform business intelligence as we have since inception.
来源：Tomasz Tunguz 博客 · tomtunguz.com